Quantifying individual and collective influences of soil properties on crop yield

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dc.contributor.authorWhetton, Rebecca
dc.contributor.authorZhao, Yifan
dc.contributor.authorMouazen, Abdul Mounem
dc.date.accessioned2017-08-02T14:59:58Z
dc.date.available2017-08-02T14:59:58Z
dc.date.issued2017-07-20
dc.description.abstractQuantification of the agronomic influences of soil properties, collected at high sampling resolution, on crop yield is essential for site specific soil management. The objective of this study was to implement a novel Volterra Non-linear Regressive with eXogenous inputs (VNRX) model accounting for the linear and non-linear variability (VNRX-LN) to quantify causal factors affecting wheat yield in a 22-ha field with a waterlogging problem in Bedfordshire, UK. The VNRX-LN model was applied using high-resolution data of eight key soil properties (total nitrogen (TN), organic carbon, pH, available phosphorous, magnesium (Mg), calcium, moisture content and cation exchange capacity (CEC)). The data were collected with an on-line (tractor mounted) visible and near infrared spectroscopy sensor and used as multiple-input to the VNRX-LN model, whereas crop yield represented the single-output in the system. Results showed that the largest contributors to wheat yield were CEC, Mg and TN, with error reduction ratio contribution values of 14.6%, 4.69% and 1% respectively. The overall contribution of the soil properties considered in this study equalled 23.21%. This was attributed to a large area of the studied field having been waterlogged, which masked the actual effect of soil properties on crop yield. It is recommended that VNRX-LN is validated on a larger number of fields, where other crop yield affecting parameters e.g., crop disease, pests, drainage, topography and microclimate conditions should be taken into account.en_UK
dc.identifier.citationWhetton R, Zhao Y, Mouazen AM, Quantifying individual and collective influences of soil properties on crop yield, Soil Research, Vol. 56, Issue 1, 2017, pp. 19-27en_UK
dc.identifier.issn1838-675X
dc.identifier.urihttp://dx.doi.org/10.1071/SR16264
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/12265
dc.language.isoenen_UK
dc.publisherCSIRO Publishingen_UK
dc.rightsPublished by CSIRO Publishing. This is the Author Accepted Manuscript. Please refer to any applicable publisher terms of use.
dc.subjectNonlinear parametric modellingen_UK
dc.subjectProximal soil sensingen_UK
dc.subjectVNRX-LNen_UK
dc.subjectYield-limitingen_UK
dc.titleQuantifying individual and collective influences of soil properties on crop yielden_UK
dc.typeArticleen_UK

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